A multiscale signalling network map of innate immune response in cancer reveals cell heterogeneity signatures
A multiscale signalling network map of innate immune response in cancer reveals cell heterogeneity signatures
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DOI：
10.1038/s41467-019-12270-x
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发表时间：
2019-10-22
影响因子：
16.6
通讯作者：
Kuperstein, Inna
中科院分区：
文献类型：
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作者：
Kondratova, Maria;Czerwinska, Urszula;Kuperstein, Inna
缺乏描述癌症先天免疫反应复杂性的综合资源是高通量数据解释的瓶颈。为了解决这一挑战，我们对癌症中控制先天免疫反应的分子机制进行了系统的手工文献挖掘，并将其表示为信号网络图。巨噬细胞、树突状细胞、髓源性抑制细胞和自然杀伤细胞的细胞类型特异性信号图谱被构建并整合到癌症先天免疫反应的综合meta图中。元图谱包含1466种化学物质，以1084种生化反应为节点，由820篇文献提供信息支持。该资源有助于解释转移性黑色素瘤中巨噬细胞和自然杀伤细胞的单细胞RNA-Seq数据，这些数据揭示了每种细胞类型中不同的抗或肿瘤亚群。在这里，我们报告了一个新的开源分析平台，该平台支持癌症中肿瘤微环境活动的数据可视化和解释。
The lack of integrated resources depicting the complexity of the innate immune response in cancer represents a bottleneck for high-throughput data interpretation. To address this challenge, we perform a systematic manual literature mining of molecular mechanisms governing the innate immune response in cancer and represent it as a signalling network map. The cell-type specific signalling maps of macrophages, dendritic cells, myeloid-derived suppressor cells and natural killers are constructed and integrated into a comprehensive meta map of the innate immune response in cancer. The meta-map contains 1466 chemical species as nodes connected by 1084 biochemical reactions, and it is supported by information from 820 articles. The resource helps to interpret single cell RNA-Seq data from macrophages and natural killer cells in metastatic melanoma that reveal different anti- or protumor sub-populations within each cell type. Here, we report a new open source analytic platform that supports data visualisation and interpretation of tumour microenvironment activity in cancer.